Medium Risk

update_blog_post

Update an existing blog post in GoHighLevel. All fields except postId and blogId are optional.

How to control update_blog_post ↓

AI agents use update_blog_post to create or update resources in GoHighLevel MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GoHighLevel MCP Server environment.

Medium Risk

This tool modifies blog post content within GoHighLevel but does not delete data (would be Destructive) or execute arbitrary code (would be Execute). The update is reversible—content can be edited again.

From the tool's definition Tool name 'update_blog_post' and description 'Update an existing blog post' indicate modification of existing data. The qualifier 'All fields except postId and blogId are optional' confirms this is a write operation that changes content reversibly.

Documented attack patterns abuse exactly the kind of access update_blog_post gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and GoHighLevel MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update_blog_post:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_blog_post": {
      "limits": [
        {
          "counter": "update_blog_post_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

update_blog_post stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register GoHighLevel MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the update_blog_post tool do? +

Update an existing blog post in GoHighLevel. All fields except postId and blogId are optional. It is categorised as a Write tool in the GoHighLevel MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_blog_post? +

Register the GoHighLevel MCP Server MCP server in PolicyLayer and add a rule for update_blog_post: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GoHighLevel MCP Server. Nothing to install.

What risk level is update_blog_post? +

update_blog_post is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_blog_post? +

Yes. Add a rate_limit block to the update_blog_post rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block update_blog_post completely? +

Set action: deny in the PolicyLayer policy for update_blog_post. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides update_blog_post? +

update_blog_post is provided by the GoHighLevel MCP Server MCP server (mastanley13/gohighlevel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GoHighLevel MCP Server tool call.

Deterministic rules across all 255 GoHighLevel MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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255 GoHighLevel MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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